A Secure and Efficient Framework for Health Data Management in E-Health Clouds

E-health cloud offers health care services over cloud computing infrastructures. In such type of systems patients health data is collected through the sensor networks such as Body Area Networks (BAN) and stored in the form of Electronic Health Records (EHR) over the cloud storage in an unprocessed f...

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Bibliographic Details
Published in:International journal of computer science and information security 2016-09, Vol.14 (9), p.1078
Main Authors: Tamizharasi, G S, Manjula, R, Monisha, K, Balamurugan, B
Format: Article
Language:English
Subjects:
Access control
Accuracy
Algorithms
Benefit cost analysis
Classification
Cloud computing
Efficiency
Health services
Patients
Personal health
Sensors
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Summary:E-health cloud offers health care services over cloud computing infrastructures. In such type of systems patients health data is collected through the sensor networks such as Body Area Networks (BAN) and stored in the form of Electronic Health Records (EHR) over the cloud storage in an unprocessed format. As the sensor networks continuously generate EHRs the process of data management has become the challenging task which the existing e-health cloud architectures fails to solve. In this paper, we define an efficient framework for e-health clouds, where an enhanced decision tree based classification technique is defined that classifies the sensor data in an efficient manner and stores it into the cloud storage in a processed format. Further, this system makes use of Multi-Authority Attribute based Encryption technique, where each authority maintains a distinct set of user attributes corresponding to a specific user group. This facilitates efficient data management and deals with patient emergency cases at earlier stages. The experiment is conducted using amazon cloud, and it provides comparatively better results.
ISSN:1947-5500